Haibin Chang
According to our database1,
Haibin Chang
authored at least 13 papers
between 2010 and 2022.
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Bibliography
2022
Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network.
J. Comput. Phys., 2022
Identification of Physical Processes and Unknown Parameters of 3D Groundwater Contaminant Problems via Theory-guided U-net.
CoRR, 2022
CoRR, 2022
Deep-learning-based upscaling method for geologic models via theory-guided convolutional neural network.
CoRR, 2022
2020
DLGA-PDE: Discovery of PDEs with incomplete candidate library via combination of deep learning and genetic algorithm.
J. Comput. Phys., 2020
CoRR, 2020
CoRR, 2020
Efficient Uncertainty Quantification for Dynamic Subsurface Flow with Surrogate by Theory-guided Neural Network.
CoRR, 2020
2019
Neural Networks, 2019
Identification of physical processes via combined data-driven and data-assimilation methods.
J. Comput. Phys., 2019
DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data.
CoRR, 2019
2010
History matching of facies distribution with the EnKF and level set parameterization.
J. Comput. Phys., 2010